Eric,
Thanks a lot for the pointers. Sorry for the double posting.
I tried fill_between, which works better than bar graph.
But I need to change the data set to be able to get the filling
into a nicely-formed rectangle, and the performance is still not very good.
As the below example shows:
import matplotlib.mlab as mlab
from matplotlib.pyplot import figure, show
import numpy as np
x1 = np.arange(0.0, 10000.0, 0.1)
y1 = np.sin(2*np.pi*x1)
fig = figure()
ax1 = fig.add_subplot(111)
x = []
for i in x1:
x += [i-0.05, i-0.05, i, i+0.05, i+0.05]
y = []
for i in y1:
y += [0, i, i, i, 0]
ax1.fill_between(x, 0, y)
I have also tried step, but it doesn't seem to be able
to fill the rectangular area. Am I missing something?
Kun
Eric Firing wrote:
> On 05/02/2010 05:48 PM, Kun Hong wrote:
>
>> Hi,
>>
>> I am new to matplotlib. So if I ask sth stupid, please bear with me.
>>
>> I am using matplotlib to present large data set in different graph
>> types,
>> bar, dot, line, etc. I find that the bar graph has very bad performance.
>> Say, I draw data points of about ten thousand. Using dot graph, it draws
>> in a second. But using bar graph, it draws in tens of seconds.
>>
>> I was wondering what causes this difference. Is there a way to improve
>> the
>> bar graph performace? (Maybe I am not drawing it right, then, please
>> give
>> me a pointer)
>>
>>
>
> Also check out step().
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.step
>
> Eric
>
>
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